Research Article
Transform based approaches for Palmprint Identification
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 41 - Issue 1 |
| Published: March 2012 |
| Authors: K.Vaidehi, T. S.Subashini, V. Ramalingam, S. Palanivel, M. Kalaimani |
10.5120/5502-7496
|
K.Vaidehi, T. S.Subashini, V. Ramalingam, S. Palanivel, M. Kalaimani . Transform based approaches for Palmprint Identification. International Journal of Computer Applications. 41, 1 (March 2012), 1-5. DOI=10.5120/5502-7496
@article{ 10.5120/5502-7496,
author = { K.Vaidehi,T. S.Subashini,V. Ramalingam,S. Palanivel,M. Kalaimani },
title = { Transform based approaches for Palmprint Identification },
journal = { International Journal of Computer Applications },
year = { 2012 },
volume = { 41 },
number = { 1 },
pages = { 1-5 },
doi = { 10.5120/5502-7496 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A K.Vaidehi
%A T. S.Subashini
%A V. Ramalingam
%A S. Palanivel
%A M. Kalaimani
%T Transform based approaches for Palmprint Identification%T
%J International Journal of Computer Applications
%V 41
%N 1
%P 1-5
%R 10.5120/5502-7496
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In this paper, identification of a person is carried out using Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) coefficients as palmprint features. Dimensionality reduction was carried out using Principal Component Analysis (PCA) and the reduced features were classified using Support Vector Machine (SVM). The segmented palmprint images used in this study are from the IITD palmprint database. Here, we describe the palmprint identification methodology, which can be summarized in a number of distinct steps: (1) preprocessing, (2) feature extraction, and (3) classification. Experiments were developed on a database of 100 images from 20 individuals. This study shows that DCT is better for palmprint identification with an accuracy of 99% compared to DWT which gives 96. 66% accuracy.
References
- Adams Kong, David Zhang, and Mohamed Kamel, "A Survey of Palmprint Recognition".
- G. S. Badrinath, Phalguni Gupta, " An efficient palmprint based recognition system using 1D-DCT Features", "IDRBT Doctoral Collaquium", 2011.
- Edward Wong Kie Yih, G. Sainarayanan, Ali Chekima,"Palmprint based biometric system: A comparative study on discrete cosine transform energy, wavelet transform energy and sobelcode methods", Biomedical Soft Computing and Human Sciences, Vol. 14, No. 1, pp. 11-19, 2009.
- Deepti Tamrakar, Pritee Khanna," Analysis of palmprint verification using wavelet filter and competitive code", "2010 International conference on computational intelligence and communication Networks", IEEE, 2010.
- A. Kong, D. Zhang, and M. Kamel, "A survey of palmprint recognition. Pattern Recognition", vol. 42, pp. 1408-1418, 2009.
- Nan Luo and Zhenhua Guo, "Local-Global based palmprint verification", "International conference on advanced computer control", IEEE, 2011.
- X. Wu, D. Zhang, K. Wang, "A Fisherpalms based palmprint recognition", Pattern Recognition Letters, vol. 24, 2003, pp. 2829-2838.
- Edward Wong Kie Yih, G. Sainarayanan, Ali Chekima, and Narendra G, "Palmprint identification using sequential modified haar wavelet energy", International Conference on Signal Processing, IEEE, 2008.
- Jun-ying Gan, Dang-pei Zhou,"A novel method for palmprint recognition based on wavelet transform", 'ICSP 2006 Proceedings', IEEE, 2006.
- IIT Delhi Touchless Palmprint Database (Version 1. 0): www. comp. polyu. edu. hk/~csajaykr /IITD/ Database-palm. htm
- "Orthogonal wavelet decomposition", www. tideman. co. nz/ salalah/orthwavedecomp. html
- 12. K. R. Rao and P. Yip, "Discrete Cosine Transform; Algorithms, Advantages and Applications", Academic press Inc. , 1990.
- Principal component analysis: www. fon. hum. uva. nl/praat/manual/principal_component_ analysis. html
- SVM - Support Vector Machines: www. dtreg. com. svm. htm
- V. Vapnik, Statistcal Learning Theory, Wiley, New York, 1998.
- Marina sokolova, Nathalie japakowicz and stan szpakowicz, "Beyond Accuracy, F-score and ROC: a family of Discriminant measures for performance evaluation",www. etud. iro. umontreal. ca/nsokolovm/australia06. pdf/ 2006.
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